Search Method
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Search Method has 18 facts recorded in Dontopedia across 8 references, with 2 live disagreements.
Mostly:rdf:type(3), records(2), is called on(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedRdf:typein disputerdf:type
Recordsin disputerecords
- End Time[2]sourceall time · Ceb5c7ec Af98 4776 9c0d Fc903e06dcd4
- Start Time[2]sourceall time · Ceb5c7ec Af98 4776 9c0d Fc903e06dcd4
Is Called onis_called_on
Is Used forisUsedFor
- Nearest Neighbor Search[1]sourceall time · 27831356 38d9 4289 97d2 9a64e0fff953
Returnsreturns
- Nearest Neighbor Results[1]sourceall time · 27831356 38d9 4289 97d2 9a64e0fff953
Findsfinds
- Nearest Neighbors[1]sourceall time · 27831356 38d9 4289 97d2 9a64e0fff953
Aliasalias
- search[1]all time · 27831356 38d9 4289 97d2 9a64e0fff953
Called Per IterationcalledPerIteration
- true[3]all time · F2ac6f00 9427 4edc B81b 45b9c891e787
Called WithcalledWith
- Search Argument[3]all time · F2ac6f00 9427 4edc B81b 45b9c891e787
Measures DurationmeasuresDuration
- true[6]all time · 20342d06 A832 4fa0 8eda 34243774ac2e
Stores tostoresTo
- Profile Data[6]all time · 20342d06 A832 4fa0 8eda 34243774ac2e
Belongs tobelongs_to
Inbound mentions (5)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
callsCalls(1)
- Search Simulation
ex:search_simulation
describesDescribes(1)
- Searching Section
ex:searching_section
ex:variableScopeEx:variable Scope(1)
- Node
ex:node
receiver_ofReceiver of(1)
- Index
ex:index
stepStep(1)
- Workflow
ex:workflow
Other facts (3)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Is Method of | Search System | [5] |
| Uses Brute Force Approach | comparesWithEachVector | [8] |
| Returns Number of Results | 10 | [8] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (8)
- custom
ctx:claims/beam/27831356-38d9-4289-97d2-9a64e0fff953- full textbeam-chunktext/plain1 KB
doc:beam/27831356-38d9-4289-97d2-9a64e0fff953Show excerpt
- `nlist`: Number of clusters. A higher value can improve accuracy but also increases memory usage. - `M`: Number of sub-quantizers. A higher value can improve accuracy but also increases memory usage. - `nbits`: Number of bits per…
- custom
ctx:claims/beam/ceb5c7ec-af98-4776-9c0d-fc903e06dcd4- full textbeam-chunktext/plain1 KB
doc:beam/ceb5c7ec-af98-4776-9c0d-fc903e06dcd4Show excerpt
ss.analyze_performance() ``` ### Explanation 1. **Detailed Timing**: - The `search` method records the start and end times for each query and stores the duration in `self.queries`. 2. **Profiling**: - The `search` method also profi…
- custom
ctx:claims/beam/f2ac6f00-9427-4edc-b81b-45b9c891e787 - custom
ctx:claims/beam/7eea273f-790f-4e03-b59e-c75af85f7d1f- full textbeam-chunktext/plain1 KB
doc:beam/7eea273f-790f-4e03-b59e-c75af85f7d1fShow excerpt
Benchmarking involves measuring the performance of your system under various conditions to identify bottlenecks and areas for improvement. #### Steps: 1. **Generate Test Data**: - Create a large set of test data that includes terms and…
- custom
ctx:claims/beam/3e13d5d8-d502-4e99-89ef-cf237c11d470- full textbeam-chunktext/plain1 KB
doc:beam/3e13d5d8-d502-4e99-89ef-cf237c11d470Show excerpt
self.queries.append((query, end_time - start_time)) def get_search_speeds(self): return [query[1] for query in self.queries] # create search system ss = SearchSystem() # simulate searches for i in range(15000): ss…
- custom
ctx:claims/beam/20342d06-a832-4fa0-8eda-34243774ac2e - custom
ctx:claims/beam/487e5748-2bcd-4e37-90db-0cffa8f51b40 - custom
ctx:claims/beam/1f683966-b96e-483a-9ff6-00f44bcce021- full textbeam-chunktext/plain1 KB
doc:beam/1f683966-b96e-483a-9ff6-00f44bcce021Show excerpt
# Generate ground truth for evaluation ground_truth_indices = np.random.choice(len(db.vectors), size=10, replace=False) # Evaluate the accuracy accuracy = calculate_accuracy(db, query_vector, ground_truth_indices) print(f"Search accuracy: …
See also
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